The end of world population growth

By Wolfgang Lutz, Warren C. Sanderson, Sergei Scherbov. Nature, 2001

684 citations recorded by the source corpus.

Subfields: Demography, Management Science and Operations Research, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/9f85a94795c275b02c403382068d45418ddb94dc

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Citations in the corpus

SPECIAL ISSUE: The Dynamics and Value of Ecosystem Services: Integrating Economic and Ecological Perspectives Modeling the dynamics of the integrated earth system and the value of global ecosystem services using the GUMBO model (2002, background): “Population declines in all scenarios are a result of decreasing human fertility which is linked to increased knowledge, not to increasing mortality (Lutz et al., 2001).”
The hydrogen economy in the 21st century: a sustainable development scenario (2003, result): “This scenario is consistent with recent analyses, which have found a signiGcant probability that the world population will stop growing well before the end of the century [15].”
A Hotelling Model with a Ceiling on the Stock of Pollution (2006, neutral): “The case of decreasing demand may be important in the long-run, if for instance, global fertility rates and population decline faster than expected, as has been predicted by several recent projections (Lutz et al., 2001).”
Quantifying and mapping the human appropriation of net primary production in earth's terrestrial ecosystems (2007, background): “Because human population numbers (30) and per capita consumption of food Table 4.”
Policy and technological constraints to implementation of greenhouse gas mitigation options in agriculture (2007, background): “According to current projections, the global population may reach about 9 billion by 2050, an increase of about 50% over current levels (Lutz et al., 2001; Cohen, 2003).”
An Evolutionary and Ecological Analysis of Human Fertility, Mating Patterns, and Parental Investment (2003, background): “Is very low fertility in Eastern and Southern Europe due to the same costs and benefits, or are there different factors leading to similar outcomes? For the most part, world population projections are based on statistical trends from the past and guesses about convergence on stable total fertility r”
Issues related to mitigation in the long-term context (2007, background): “Examples include probabilistic projections for population (Lutz and Sanderson, 2001) and CO 2 emissions (Webster et al., 2002, 2003; O'Neill, 2004).”
The Emergence of Lowest‐Low Fertility in Europe During the 1990s (2002, background): “As a result the earlier distinct fertility regimes, “developed” and “developing,” are increasingly disappearing in global comparisons of fertility levels (Bongaarts and Bulatao 2000; Lutz, Sanderson, and Scherbov 2001; Wilson 2001).”
Balancing food production and nature conservation in the Neotropical dry forests of northern Argentina (2008, background): “The global population is predicted to increase by approximately 3 billion people during the next 50 years (Lutz et al., 2001), and at the same time, per capita food consumption is expected to increase (Smil, 2000; Balmford et al., 2005).”
What are the limits to oil palm expansion (2016, neutral): “But since the global population is expected to continue growing until at least 2050 (Lutz et al., 2001), we likely underestimate the area which will be allocated to other uses and overestimate the available area for future oil palm cultivation.”
Global change effects on humid tropical forests: Evidence for biogeochemical and biodiversity shifts at an ecosystem scale (2016, background): “Human populations and the extraction of resources continue to increase [Lutz et al., 2001;Watson et al., 2001], and a suite of global-scale consequences are rapidly unfolding on ecosystems across the globe.”
Does climate policy need probabilities (2003, background): “Uncertainty in certain key drivers of GHG emissions have been explored in probabilistic terms, namely population growth (Lutz et al., 1997; Lutz et al., 2001) and technological change (Gritsevskyi and Nakicenovic, 2000).”
Does climate adaptation policy need probabilities? (2004, background): “Uncertainty in certain key drivers of GHG emissions have been explored in probabilistic terms, namely population growth (Lutz et al., 2001) and technological change (Gritsevskyi and Nakicenovic, 2000).”